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R Software Module

rwasp_autocorrelation.wasp

Title produced by software

(Partial) Autocorrelation Function

Date of computation

Fri, 12 Dec 2008 06:25:37 -0700

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Dec/12/t1229088381tseanhc8089a1v7.htm/, Retrieved Sun, 19 May 2024 04:43:10 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=32699, Retrieved Sun, 19 May 2024 04:43:10 +0000

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IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

193

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Univariate Data Series] [Uitvoer.Nederland] [2008-12-03 15:11:10] [988ab43f527fc78aae41c84649095267]
-   P   [Univariate Data Series] [Export From Belgi...] [2008-12-03 15:52:29] [988ab43f527fc78aae41c84649095267]
- RMP     [(Partial) Autocorrelation Function] [Partial Autocorre...] [2008-12-03 16:01:07] [988ab43f527fc78aae41c84649095267]
-    D      [(Partial) Autocorrelation Function] [Partial Autocorre...] [2008-12-11 17:24:10] [988ab43f527fc78aae41c84649095267]
-   PD        [(Partial) Autocorrelation Function] [Partial Autocorre...] [2008-12-12 13:08:14] [988ab43f527fc78aae41c84649095267]
-                 [(Partial) Autocorrelation Function] [Partial Autocorre...] [2008-12-12 13:25:37] [5d823194959040fa9b19b8c8302177e6] [Current]

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Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 1 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ 72.249.127.135 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32699&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]1 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ 72.249.127.135[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32699&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32699&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	1 seconds
R Server	'Gwilym Jenkins' @ 72.249.127.135

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	-0.288577	-1.9784	0.026882
2	-0.311577	-2.1361	0.018956
3	0.330136	2.2633	0.014138
4	-0.215563	-1.4778	0.073063
5	0.011257	0.0772	0.469406
6	0.082681	0.5668	0.286762
7	-0.208198	-1.4273	0.080047
8	0.077976	0.5346	0.297732
9	0.106975	0.7334	0.233483
10	0.053415	0.3662	0.357932
11	-0.04453	-0.3053	0.380749
12	-0.186891	-1.2813	0.103195
13	0.107336	0.7359	0.232737
14	0.067515	0.4629	0.322801
15	-0.145881	-1.0001	0.161189
16	-0.102288	-0.7013	0.243301
17	0.22855	1.5669	0.061928
18	0.079572	0.5455	0.293989
19	-0.144123	-0.9881	0.164093
20	0.022363	0.1533	0.439404
21	0.10576	0.7251	0.236007
22	-0.110519	-0.7577	0.226213
23	0.117232	0.8037	0.212808
24	-0.069521	-0.4766	0.317923
25	-0.177455	-1.2166	0.114922
26	0.214755	1.4723	0.073805
27	-0.054137	-0.3711	0.356098
28	-0.014125	-0.0968	0.461634
29	0.004632	0.0318	0.4874
30	-0.110593	-0.7582	0.226062
31	0.163433	1.1204	0.13411
32	0.005169	0.0354	0.485942
33	-0.180228	-1.2356	0.111377
34	0.099114	0.6795	0.250081
35	0.034108	0.2338	0.408065
36	-0.057161	-0.3919	0.348461
37	0.012888	0.0884	0.464983
38	0.042776	0.2933	0.385307
39	-0.040893	-0.2803	0.39022
40	0.037624	0.2579	0.39879
41	0.05225	0.3582	0.360897
42	-0.090447	-0.6201	0.269103
43	-0.026835	-0.184	0.427413
44	0.044629	0.306	0.380492
45	-0.008448	-0.0579	0.477029
46	-0.014155	-0.097	0.461552
47	NA	NA	NA
48	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Autocorrelation Function \tabularnewline
Time lag k & ACF(k) & T-STAT & P-value \tabularnewline
1 & -0.288577 & -1.9784 & 0.026882 \tabularnewline
2 & -0.311577 & -2.1361 & 0.018956 \tabularnewline
3 & 0.330136 & 2.2633 & 0.014138 \tabularnewline
4 & -0.215563 & -1.4778 & 0.073063 \tabularnewline
5 & 0.011257 & 0.0772 & 0.469406 \tabularnewline
6 & 0.082681 & 0.5668 & 0.286762 \tabularnewline
7 & -0.208198 & -1.4273 & 0.080047 \tabularnewline
8 & 0.077976 & 0.5346 & 0.297732 \tabularnewline
9 & 0.106975 & 0.7334 & 0.233483 \tabularnewline
10 & 0.053415 & 0.3662 & 0.357932 \tabularnewline
11 & -0.04453 & -0.3053 & 0.380749 \tabularnewline
12 & -0.186891 & -1.2813 & 0.103195 \tabularnewline
13 & 0.107336 & 0.7359 & 0.232737 \tabularnewline
14 & 0.067515 & 0.4629 & 0.322801 \tabularnewline
15 & -0.145881 & -1.0001 & 0.161189 \tabularnewline
16 & -0.102288 & -0.7013 & 0.243301 \tabularnewline
17 & 0.22855 & 1.5669 & 0.061928 \tabularnewline
18 & 0.079572 & 0.5455 & 0.293989 \tabularnewline
19 & -0.144123 & -0.9881 & 0.164093 \tabularnewline
20 & 0.022363 & 0.1533 & 0.439404 \tabularnewline
21 & 0.10576 & 0.7251 & 0.236007 \tabularnewline
22 & -0.110519 & -0.7577 & 0.226213 \tabularnewline
23 & 0.117232 & 0.8037 & 0.212808 \tabularnewline
24 & -0.069521 & -0.4766 & 0.317923 \tabularnewline
25 & -0.177455 & -1.2166 & 0.114922 \tabularnewline
26 & 0.214755 & 1.4723 & 0.073805 \tabularnewline
27 & -0.054137 & -0.3711 & 0.356098 \tabularnewline
28 & -0.014125 & -0.0968 & 0.461634 \tabularnewline
29 & 0.004632 & 0.0318 & 0.4874 \tabularnewline
30 & -0.110593 & -0.7582 & 0.226062 \tabularnewline
31 & 0.163433 & 1.1204 & 0.13411 \tabularnewline
32 & 0.005169 & 0.0354 & 0.485942 \tabularnewline
33 & -0.180228 & -1.2356 & 0.111377 \tabularnewline
34 & 0.099114 & 0.6795 & 0.250081 \tabularnewline
35 & 0.034108 & 0.2338 & 0.408065 \tabularnewline
36 & -0.057161 & -0.3919 & 0.348461 \tabularnewline
37 & 0.012888 & 0.0884 & 0.464983 \tabularnewline
38 & 0.042776 & 0.2933 & 0.385307 \tabularnewline
39 & -0.040893 & -0.2803 & 0.39022 \tabularnewline
40 & 0.037624 & 0.2579 & 0.39879 \tabularnewline
41 & 0.05225 & 0.3582 & 0.360897 \tabularnewline
42 & -0.090447 & -0.6201 & 0.269103 \tabularnewline
43 & -0.026835 & -0.184 & 0.427413 \tabularnewline
44 & 0.044629 & 0.306 & 0.380492 \tabularnewline
45 & -0.008448 & -0.0579 & 0.477029 \tabularnewline
46 & -0.014155 & -0.097 & 0.461552 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32699&T=1

[TABLE]
[ROW][C]Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]ACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]1[/C][C]-0.288577[/C][C]-1.9784[/C][C]0.026882[/C][/ROW]
[ROW][C]2[/C][C]-0.311577[/C][C]-2.1361[/C][C]0.018956[/C][/ROW]
[ROW][C]3[/C][C]0.330136[/C][C]2.2633[/C][C]0.014138[/C][/ROW]
[ROW][C]4[/C][C]-0.215563[/C][C]-1.4778[/C][C]0.073063[/C][/ROW]
[ROW][C]5[/C][C]0.011257[/C][C]0.0772[/C][C]0.469406[/C][/ROW]
[ROW][C]6[/C][C]0.082681[/C][C]0.5668[/C][C]0.286762[/C][/ROW]
[ROW][C]7[/C][C]-0.208198[/C][C]-1.4273[/C][C]0.080047[/C][/ROW]
[ROW][C]8[/C][C]0.077976[/C][C]0.5346[/C][C]0.297732[/C][/ROW]
[ROW][C]9[/C][C]0.106975[/C][C]0.7334[/C][C]0.233483[/C][/ROW]
[ROW][C]10[/C][C]0.053415[/C][C]0.3662[/C][C]0.357932[/C][/ROW]
[ROW][C]11[/C][C]-0.04453[/C][C]-0.3053[/C][C]0.380749[/C][/ROW]
[ROW][C]12[/C][C]-0.186891[/C][C]-1.2813[/C][C]0.103195[/C][/ROW]
[ROW][C]13[/C][C]0.107336[/C][C]0.7359[/C][C]0.232737[/C][/ROW]
[ROW][C]14[/C][C]0.067515[/C][C]0.4629[/C][C]0.322801[/C][/ROW]
[ROW][C]15[/C][C]-0.145881[/C][C]-1.0001[/C][C]0.161189[/C][/ROW]
[ROW][C]16[/C][C]-0.102288[/C][C]-0.7013[/C][C]0.243301[/C][/ROW]
[ROW][C]17[/C][C]0.22855[/C][C]1.5669[/C][C]0.061928[/C][/ROW]
[ROW][C]18[/C][C]0.079572[/C][C]0.5455[/C][C]0.293989[/C][/ROW]
[ROW][C]19[/C][C]-0.144123[/C][C]-0.9881[/C][C]0.164093[/C][/ROW]
[ROW][C]20[/C][C]0.022363[/C][C]0.1533[/C][C]0.439404[/C][/ROW]
[ROW][C]21[/C][C]0.10576[/C][C]0.7251[/C][C]0.236007[/C][/ROW]
[ROW][C]22[/C][C]-0.110519[/C][C]-0.7577[/C][C]0.226213[/C][/ROW]
[ROW][C]23[/C][C]0.117232[/C][C]0.8037[/C][C]0.212808[/C][/ROW]
[ROW][C]24[/C][C]-0.069521[/C][C]-0.4766[/C][C]0.317923[/C][/ROW]
[ROW][C]25[/C][C]-0.177455[/C][C]-1.2166[/C][C]0.114922[/C][/ROW]
[ROW][C]26[/C][C]0.214755[/C][C]1.4723[/C][C]0.073805[/C][/ROW]
[ROW][C]27[/C][C]-0.054137[/C][C]-0.3711[/C][C]0.356098[/C][/ROW]
[ROW][C]28[/C][C]-0.014125[/C][C]-0.0968[/C][C]0.461634[/C][/ROW]
[ROW][C]29[/C][C]0.004632[/C][C]0.0318[/C][C]0.4874[/C][/ROW]
[ROW][C]30[/C][C]-0.110593[/C][C]-0.7582[/C][C]0.226062[/C][/ROW]
[ROW][C]31[/C][C]0.163433[/C][C]1.1204[/C][C]0.13411[/C][/ROW]
[ROW][C]32[/C][C]0.005169[/C][C]0.0354[/C][C]0.485942[/C][/ROW]
[ROW][C]33[/C][C]-0.180228[/C][C]-1.2356[/C][C]0.111377[/C][/ROW]
[ROW][C]34[/C][C]0.099114[/C][C]0.6795[/C][C]0.250081[/C][/ROW]
[ROW][C]35[/C][C]0.034108[/C][C]0.2338[/C][C]0.408065[/C][/ROW]
[ROW][C]36[/C][C]-0.057161[/C][C]-0.3919[/C][C]0.348461[/C][/ROW]
[ROW][C]37[/C][C]0.012888[/C][C]0.0884[/C][C]0.464983[/C][/ROW]
[ROW][C]38[/C][C]0.042776[/C][C]0.2933[/C][C]0.385307[/C][/ROW]
[ROW][C]39[/C][C]-0.040893[/C][C]-0.2803[/C][C]0.39022[/C][/ROW]
[ROW][C]40[/C][C]0.037624[/C][C]0.2579[/C][C]0.39879[/C][/ROW]
[ROW][C]41[/C][C]0.05225[/C][C]0.3582[/C][C]0.360897[/C][/ROW]
[ROW][C]42[/C][C]-0.090447[/C][C]-0.6201[/C][C]0.269103[/C][/ROW]
[ROW][C]43[/C][C]-0.026835[/C][C]-0.184[/C][C]0.427413[/C][/ROW]
[ROW][C]44[/C][C]0.044629[/C][C]0.306[/C][C]0.380492[/C][/ROW]
[ROW][C]45[/C][C]-0.008448[/C][C]-0.0579[/C][C]0.477029[/C][/ROW]
[ROW][C]46[/C][C]-0.014155[/C][C]-0.097[/C][C]0.461552[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32699&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32699&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Autocorrelation Function
Time lag k	ACF(k)	T-STAT	P-value
1	-0.288577	-1.9784	0.026882
2	-0.311577	-2.1361	0.018956
3	0.330136	2.2633	0.014138
4	-0.215563	-1.4778	0.073063
5	0.011257	0.0772	0.469406
6	0.082681	0.5668	0.286762
7	-0.208198	-1.4273	0.080047
8	0.077976	0.5346	0.297732
9	0.106975	0.7334	0.233483
10	0.053415	0.3662	0.357932
11	-0.04453	-0.3053	0.380749
12	-0.186891	-1.2813	0.103195
13	0.107336	0.7359	0.232737
14	0.067515	0.4629	0.322801
15	-0.145881	-1.0001	0.161189
16	-0.102288	-0.7013	0.243301
17	0.22855	1.5669	0.061928
18	0.079572	0.5455	0.293989
19	-0.144123	-0.9881	0.164093
20	0.022363	0.1533	0.439404
21	0.10576	0.7251	0.236007
22	-0.110519	-0.7577	0.226213
23	0.117232	0.8037	0.212808
24	-0.069521	-0.4766	0.317923
25	-0.177455	-1.2166	0.114922
26	0.214755	1.4723	0.073805
27	-0.054137	-0.3711	0.356098
28	-0.014125	-0.0968	0.461634
29	0.004632	0.0318	0.4874
30	-0.110593	-0.7582	0.226062
31	0.163433	1.1204	0.13411
32	0.005169	0.0354	0.485942
33	-0.180228	-1.2356	0.111377
34	0.099114	0.6795	0.250081
35	0.034108	0.2338	0.408065
36	-0.057161	-0.3919	0.348461
37	0.012888	0.0884	0.464983
38	0.042776	0.2933	0.385307
39	-0.040893	-0.2803	0.39022
40	0.037624	0.2579	0.39879
41	0.05225	0.3582	0.360897
42	-0.090447	-0.6201	0.269103
43	-0.026835	-0.184	0.427413
44	0.044629	0.306	0.380492
45	-0.008448	-0.0579	0.477029
46	-0.014155	-0.097	0.461552
47	NA	NA	NA
48	NA	NA	NA

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.288577	-1.9784	0.026882
2	-0.430723	-2.9529	0.002451
3	0.103392	0.7088	0.240969
4	-0.250486	-1.7172	0.046259
5	0.041621	0.2853	0.38832
6	-0.130533	-0.8949	0.187704
7	-0.157551	-1.0801	0.142802
8	-0.135186	-0.9268	0.179385
9	-0.014126	-0.0968	0.461632
10	0.194538	1.3337	0.094368
11	0.029981	0.2055	0.419018
12	-0.17768	-1.2181	0.114631
13	-0.093432	-0.6405	0.262468
14	-0.028287	-0.1939	0.423534
15	-0.053132	-0.3643	0.35865
16	-0.290485	-1.9915	0.02613
17	0.128383	0.8801	0.191628
18	0.119046	0.8161	0.209269
19	-0.002826	-0.0194	0.492314
20	-0.139662	-0.9575	0.171614
21	0.195156	1.3379	0.093679
22	0.053074	0.3639	0.358799
23	0.163691	1.1222	0.133736
24	-0.099664	-0.6833	0.248899
25	0.037246	0.2553	0.399784
26	0.046448	0.3184	0.375784
27	-0.184681	-1.2661	0.105857
28	0.01735	0.1189	0.452911
29	0.010428	0.0715	0.471656
30	-0.004419	-0.0303	0.48798
31	-0.103979	-0.7128	0.239733
32	0.025427	0.1743	0.431182
33	0.110969	0.7608	0.225299
34	-0.051784	-0.355	0.362083
35	-0.004203	-0.0288	0.488569
36	-0.044846	-0.3075	0.379929
37	0.045586	0.3125	0.378013
38	-0.026971	-0.1849	0.427049
39	-0.093292	-0.6396	0.262775
40	0.020831	0.1428	0.443525
41	0.021413	0.1468	0.441958
42	-0.01098	-0.0753	0.470159
43	-0.122591	-0.8404	0.202457
44	-0.007415	-0.0508	0.479838
45	-0.004787	-0.0328	0.486979
46	0.017441	0.1196	0.452668
47	NA	NA	NA
48	NA	NA	NA

\begin{tabular}{lllllllll}
\hline
Partial Autocorrelation Function \tabularnewline
Time lag k & PACF(k) & T-STAT & P-value \tabularnewline
1 & -0.288577 & -1.9784 & 0.026882 \tabularnewline
2 & -0.430723 & -2.9529 & 0.002451 \tabularnewline
3 & 0.103392 & 0.7088 & 0.240969 \tabularnewline
4 & -0.250486 & -1.7172 & 0.046259 \tabularnewline
5 & 0.041621 & 0.2853 & 0.38832 \tabularnewline
6 & -0.130533 & -0.8949 & 0.187704 \tabularnewline
7 & -0.157551 & -1.0801 & 0.142802 \tabularnewline
8 & -0.135186 & -0.9268 & 0.179385 \tabularnewline
9 & -0.014126 & -0.0968 & 0.461632 \tabularnewline
10 & 0.194538 & 1.3337 & 0.094368 \tabularnewline
11 & 0.029981 & 0.2055 & 0.419018 \tabularnewline
12 & -0.17768 & -1.2181 & 0.114631 \tabularnewline
13 & -0.093432 & -0.6405 & 0.262468 \tabularnewline
14 & -0.028287 & -0.1939 & 0.423534 \tabularnewline
15 & -0.053132 & -0.3643 & 0.35865 \tabularnewline
16 & -0.290485 & -1.9915 & 0.02613 \tabularnewline
17 & 0.128383 & 0.8801 & 0.191628 \tabularnewline
18 & 0.119046 & 0.8161 & 0.209269 \tabularnewline
19 & -0.002826 & -0.0194 & 0.492314 \tabularnewline
20 & -0.139662 & -0.9575 & 0.171614 \tabularnewline
21 & 0.195156 & 1.3379 & 0.093679 \tabularnewline
22 & 0.053074 & 0.3639 & 0.358799 \tabularnewline
23 & 0.163691 & 1.1222 & 0.133736 \tabularnewline
24 & -0.099664 & -0.6833 & 0.248899 \tabularnewline
25 & 0.037246 & 0.2553 & 0.399784 \tabularnewline
26 & 0.046448 & 0.3184 & 0.375784 \tabularnewline
27 & -0.184681 & -1.2661 & 0.105857 \tabularnewline
28 & 0.01735 & 0.1189 & 0.452911 \tabularnewline
29 & 0.010428 & 0.0715 & 0.471656 \tabularnewline
30 & -0.004419 & -0.0303 & 0.48798 \tabularnewline
31 & -0.103979 & -0.7128 & 0.239733 \tabularnewline
32 & 0.025427 & 0.1743 & 0.431182 \tabularnewline
33 & 0.110969 & 0.7608 & 0.225299 \tabularnewline
34 & -0.051784 & -0.355 & 0.362083 \tabularnewline
35 & -0.004203 & -0.0288 & 0.488569 \tabularnewline
36 & -0.044846 & -0.3075 & 0.379929 \tabularnewline
37 & 0.045586 & 0.3125 & 0.378013 \tabularnewline
38 & -0.026971 & -0.1849 & 0.427049 \tabularnewline
39 & -0.093292 & -0.6396 & 0.262775 \tabularnewline
40 & 0.020831 & 0.1428 & 0.443525 \tabularnewline
41 & 0.021413 & 0.1468 & 0.441958 \tabularnewline
42 & -0.01098 & -0.0753 & 0.470159 \tabularnewline
43 & -0.122591 & -0.8404 & 0.202457 \tabularnewline
44 & -0.007415 & -0.0508 & 0.479838 \tabularnewline
45 & -0.004787 & -0.0328 & 0.486979 \tabularnewline
46 & 0.017441 & 0.1196 & 0.452668 \tabularnewline
47 & NA & NA & NA \tabularnewline
48 & NA & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=32699&T=2

[TABLE]
[ROW][C]Partial Autocorrelation Function[/C][/ROW]
[ROW][C]Time lag k[/C][C]PACF(k)[/C][C]T-STAT[/C][C]P-value[/C][/ROW]
[ROW][C]1[/C][C]-0.288577[/C][C]-1.9784[/C][C]0.026882[/C][/ROW]
[ROW][C]2[/C][C]-0.430723[/C][C]-2.9529[/C][C]0.002451[/C][/ROW]
[ROW][C]3[/C][C]0.103392[/C][C]0.7088[/C][C]0.240969[/C][/ROW]
[ROW][C]4[/C][C]-0.250486[/C][C]-1.7172[/C][C]0.046259[/C][/ROW]
[ROW][C]5[/C][C]0.041621[/C][C]0.2853[/C][C]0.38832[/C][/ROW]
[ROW][C]6[/C][C]-0.130533[/C][C]-0.8949[/C][C]0.187704[/C][/ROW]
[ROW][C]7[/C][C]-0.157551[/C][C]-1.0801[/C][C]0.142802[/C][/ROW]
[ROW][C]8[/C][C]-0.135186[/C][C]-0.9268[/C][C]0.179385[/C][/ROW]
[ROW][C]9[/C][C]-0.014126[/C][C]-0.0968[/C][C]0.461632[/C][/ROW]
[ROW][C]10[/C][C]0.194538[/C][C]1.3337[/C][C]0.094368[/C][/ROW]
[ROW][C]11[/C][C]0.029981[/C][C]0.2055[/C][C]0.419018[/C][/ROW]
[ROW][C]12[/C][C]-0.17768[/C][C]-1.2181[/C][C]0.114631[/C][/ROW]
[ROW][C]13[/C][C]-0.093432[/C][C]-0.6405[/C][C]0.262468[/C][/ROW]
[ROW][C]14[/C][C]-0.028287[/C][C]-0.1939[/C][C]0.423534[/C][/ROW]
[ROW][C]15[/C][C]-0.053132[/C][C]-0.3643[/C][C]0.35865[/C][/ROW]
[ROW][C]16[/C][C]-0.290485[/C][C]-1.9915[/C][C]0.02613[/C][/ROW]
[ROW][C]17[/C][C]0.128383[/C][C]0.8801[/C][C]0.191628[/C][/ROW]
[ROW][C]18[/C][C]0.119046[/C][C]0.8161[/C][C]0.209269[/C][/ROW]
[ROW][C]19[/C][C]-0.002826[/C][C]-0.0194[/C][C]0.492314[/C][/ROW]
[ROW][C]20[/C][C]-0.139662[/C][C]-0.9575[/C][C]0.171614[/C][/ROW]
[ROW][C]21[/C][C]0.195156[/C][C]1.3379[/C][C]0.093679[/C][/ROW]
[ROW][C]22[/C][C]0.053074[/C][C]0.3639[/C][C]0.358799[/C][/ROW]
[ROW][C]23[/C][C]0.163691[/C][C]1.1222[/C][C]0.133736[/C][/ROW]
[ROW][C]24[/C][C]-0.099664[/C][C]-0.6833[/C][C]0.248899[/C][/ROW]
[ROW][C]25[/C][C]0.037246[/C][C]0.2553[/C][C]0.399784[/C][/ROW]
[ROW][C]26[/C][C]0.046448[/C][C]0.3184[/C][C]0.375784[/C][/ROW]
[ROW][C]27[/C][C]-0.184681[/C][C]-1.2661[/C][C]0.105857[/C][/ROW]
[ROW][C]28[/C][C]0.01735[/C][C]0.1189[/C][C]0.452911[/C][/ROW]
[ROW][C]29[/C][C]0.010428[/C][C]0.0715[/C][C]0.471656[/C][/ROW]
[ROW][C]30[/C][C]-0.004419[/C][C]-0.0303[/C][C]0.48798[/C][/ROW]
[ROW][C]31[/C][C]-0.103979[/C][C]-0.7128[/C][C]0.239733[/C][/ROW]
[ROW][C]32[/C][C]0.025427[/C][C]0.1743[/C][C]0.431182[/C][/ROW]
[ROW][C]33[/C][C]0.110969[/C][C]0.7608[/C][C]0.225299[/C][/ROW]
[ROW][C]34[/C][C]-0.051784[/C][C]-0.355[/C][C]0.362083[/C][/ROW]
[ROW][C]35[/C][C]-0.004203[/C][C]-0.0288[/C][C]0.488569[/C][/ROW]
[ROW][C]36[/C][C]-0.044846[/C][C]-0.3075[/C][C]0.379929[/C][/ROW]
[ROW][C]37[/C][C]0.045586[/C][C]0.3125[/C][C]0.378013[/C][/ROW]
[ROW][C]38[/C][C]-0.026971[/C][C]-0.1849[/C][C]0.427049[/C][/ROW]
[ROW][C]39[/C][C]-0.093292[/C][C]-0.6396[/C][C]0.262775[/C][/ROW]
[ROW][C]40[/C][C]0.020831[/C][C]0.1428[/C][C]0.443525[/C][/ROW]
[ROW][C]41[/C][C]0.021413[/C][C]0.1468[/C][C]0.441958[/C][/ROW]
[ROW][C]42[/C][C]-0.01098[/C][C]-0.0753[/C][C]0.470159[/C][/ROW]
[ROW][C]43[/C][C]-0.122591[/C][C]-0.8404[/C][C]0.202457[/C][/ROW]
[ROW][C]44[/C][C]-0.007415[/C][C]-0.0508[/C][C]0.479838[/C][/ROW]
[ROW][C]45[/C][C]-0.004787[/C][C]-0.0328[/C][C]0.486979[/C][/ROW]
[ROW][C]46[/C][C]0.017441[/C][C]0.1196[/C][C]0.452668[/C][/ROW]
[ROW][C]47[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[ROW][C]48[/C][C]NA[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=32699&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=32699&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Partial Autocorrelation Function
Time lag k	PACF(k)	T-STAT	P-value
1	-0.288577	-1.9784	0.026882
2	-0.430723	-2.9529	0.002451
3	0.103392	0.7088	0.240969
4	-0.250486	-1.7172	0.046259
5	0.041621	0.2853	0.38832
6	-0.130533	-0.8949	0.187704
7	-0.157551	-1.0801	0.142802
8	-0.135186	-0.9268	0.179385
9	-0.014126	-0.0968	0.461632
10	0.194538	1.3337	0.094368
11	0.029981	0.2055	0.419018
12	-0.17768	-1.2181	0.114631
13	-0.093432	-0.6405	0.262468
14	-0.028287	-0.1939	0.423534
15	-0.053132	-0.3643	0.35865
16	-0.290485	-1.9915	0.02613
17	0.128383	0.8801	0.191628
18	0.119046	0.8161	0.209269
19	-0.002826	-0.0194	0.492314
20	-0.139662	-0.9575	0.171614
21	0.195156	1.3379	0.093679
22	0.053074	0.3639	0.358799
23	0.163691	1.1222	0.133736
24	-0.099664	-0.6833	0.248899
25	0.037246	0.2553	0.399784
26	0.046448	0.3184	0.375784
27	-0.184681	-1.2661	0.105857
28	0.01735	0.1189	0.452911
29	0.010428	0.0715	0.471656
30	-0.004419	-0.0303	0.48798
31	-0.103979	-0.7128	0.239733
32	0.025427	0.1743	0.431182
33	0.110969	0.7608	0.225299
34	-0.051784	-0.355	0.362083
35	-0.004203	-0.0288	0.488569
36	-0.044846	-0.3075	0.379929
37	0.045586	0.3125	0.378013
38	-0.026971	-0.1849	0.427049
39	-0.093292	-0.6396	0.262775
40	0.020831	0.1428	0.443525
41	0.021413	0.1468	0.441958
42	-0.01098	-0.0753	0.470159
43	-0.122591	-0.8404	0.202457
44	-0.007415	-0.0508	0.479838
45	-0.004787	-0.0328	0.486979
46	0.017441	0.1196	0.452668
47	NA	NA	NA
48	NA	NA	NA

Figure 1

PNG link

Postscript link

PDF link

Figure 2

PNG link

Postscript link

PDF link

Parameters (Session):

par1 = 12 ;

Parameters (R input):

par1 = 48 ; par2 = 0.1 ; par3 = 1 ; par4 = 1 ; par5 = 12 ;

R code (references can be found in the software module):

if (par1 == 'Default') {
par1 = 10*log10(length(x))
} else {
par1 <- as.numeric(par1)
}
par2 <- as.numeric(par2)
par3 <- as.numeric(par3)
par4 <- as.numeric(par4)
par5 <- as.numeric(par5)
if (par2 == 0) {
x <- log(x)
} else {
x <- (x ^ par2 - 1) / par2
}
if (par3 > 0) x <- diff(x,lag=1,difference=par3)
if (par4 > 0) x <- diff(x,lag=par5,difference=par4)
bitmap(file='pic1.png')
racf <- acf(x,par1,main='Autocorrelation',xlab='lags',ylab='ACF')
dev.off()
bitmap(file='pic2.png')
rpacf <- pacf(x,par1,main='Partial Autocorrelation',xlab='lags',ylab='PACF')
dev.off()
(myacf <- c(racf$acf))
(mypacf <- c(rpacf$acf))
lengthx <- length(x)
sqrtn <- sqrt(lengthx)
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','ACF(k)','click here for more information about the Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 2:(par1+1)) {
a<-table.row.start(a)
a<-table.element(a,i-1,header=TRUE)
a<-table.element(a,round(myacf[i],6))
mytstat <- myacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Partial Autocorrelation Function',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Time lag k',header=TRUE)
a<-table.element(a,hyperlink('basics.htm','PACF(k)','click here for more information about the Partial Autocorrelation Function'),header=TRUE)
a<-table.element(a,'T-STAT',header=TRUE)
a<-table.element(a,'P-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:par1) {
a<-table.row.start(a)
a<-table.element(a,i,header=TRUE)
a<-table.element(a,round(mypacf[i],6))
mytstat <- mypacf[i]*sqrtn
a<-table.element(a,round(mytstat,4))
a<-table.element(a,round(1-pt(abs(mytstat),lengthx),6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable1.tab')

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code